All Academic, Inc. Research Logo

Info/CitationFAQResearchAll Academic Inc.
Document

R&D Collaboration and Chinese Firms in Reform Era
Unformatted Document Text:  29 information technology sector may indicate higher technological level. It is, however, not clear yet why firms in Shanghai are less profitable than those in other cities in 2000. It is notable that the average percentage of R&D expenditures in 1998, 1999 and 2000 is not significantly positively associated with ROA in 2000. This might suggest that the effect of R&D expenditures on ROA lag behind the effect of R&D collaboration. Thus, R&D collaboration in China might be more profitable in the short run than in-house R&D expenditures. Model 2 in table 3 regresses the average sales growth rate during 1997-2001 on whether a firm had R&D collaborations in either of the three years, controlling for log (sales income in 1997), average R&D expenditures in the three years, firm age, industrial sectors, geographic locations, and shares of government and foreign ownership. 13 In keeping with hypothesis 6, it is shown that the sales growth rate of the firms having R&D collaborations in either of the three years is significantly greater than the sales growth rate of the firms having no R&D collaborations. For other variables, R&D expenditures contribute to sales growth rate very substantially; the effect of initial sales income in 1997 is negative; foreign owned firms grow much faster in sales income; firms in Shanghai grow much faster than those in other cities; firms in Tianjin grow much slower than those in other cities; and firms in information technology sector grow much more rapidly than firms in other sectors. These results are consistent with Hallward-Driemeier et al (2002). 13 Log (firm scope) and import share are not controlled in models 2 and 3 of table 3 because these variables are for 2000 only in the data. The ownership structure is also for 2000 only. I include the ownership structure in models 2 and 3 but not firm scope and import share because the former is much more stable than the latter. In fact, the results for model 2 and 3 do not change if I add firm scope and import share into or drop the ownership structure from these two models.

Authors: Zhou, Wubiao.
first   previous   Page 29 of 44   next   last



background image
29
information technology sector may indicate higher technological level. It is, however, not
clear yet why firms in Shanghai are less profitable than those in other cities in 2000. It is
notable that the average percentage of R&D expenditures in 1998, 1999 and 2000 is not
significantly positively associated with ROA in 2000. This might suggest that the effect
of R&D expenditures on ROA lag behind the effect of R&D collaboration. Thus, R&D
collaboration in China might be more profitable in the short run than in-house R&D
expenditures.
Model 2 in table 3 regresses the average sales growth rate during 1997-2001 on
whether a firm had R&D collaborations in either of the three years, controlling for log
(sales income in 1997), average R&D expenditures in the three years, firm age, industrial
sectors, geographic locations, and shares of government and foreign ownership.
13
In
keeping with hypothesis 6, it is shown that the sales growth rate of the firms having R&D
collaborations in either of the three years is significantly greater than the sales growth
rate of the firms having no R&D collaborations. For other variables, R&D expenditures
contribute to sales growth rate very substantially; the effect of initial sales income in
1997 is negative; foreign owned firms grow much faster in sales income; firms in
Shanghai grow much faster than those in other cities; firms in Tianjin grow much slower
than those in other cities; and firms in information technology sector grow much more
rapidly than firms in other sectors. These results are consistent with Hallward-Driemeier
et al (2002).
13
Log (firm scope) and import share are not controlled in models 2 and 3 of table 3 because these variables
are for 2000 only in the data. The ownership structure is also for 2000 only. I include the ownership
structure in models 2 and 3 but not firm scope and import share because the former is much more stable
than the latter. In fact, the results for model 2 and 3 do not change if I add firm scope and import share into
or drop the ownership structure from these two models.


Convention
Submission, Review, and Scheduling! All Academic Convention can help with all of your abstract management needs and many more. Contact us today for a quote!
Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf.
Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets!
Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more!
Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering.
Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more!
Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches!
Click here for more information.

first   previous   Page 29 of 44   next   last

©2008 All Academic, Inc.